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Dynamic–Stochastic Modeling of Rivers Rising from Lakes

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Abstract

Problems arising in modeling long-term variations in rivers rising from lakes are discussed in the context of the theory of correlation of non-Gaussian stochastic processes and with the use of Fokker–Plank–Kolmogorov equation. Numerically simulated runoff values of the Angara River rising from Lake Baikal are given.

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Authors and Affiliations

  1. Water Problems Institute, Russian Academy of Sciences, ul. Gubkina 3, GSP-1, Moscow, 119991, Russia

    A. V. Frolov, T. Yu. Vyruchalkina & I. V. Solomonova

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  1. A. V. Frolov
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  2. T. Yu. Vyruchalkina
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  3. I. V. Solomonova
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Frolov, A.V., Vyruchalkina, T.Y. & Solomonova, I.V. Dynamic–Stochastic Modeling of Rivers Rising from Lakes. Water Resources 30, 627–631 (2003). https://doi.org/10.1023/B:WARE.0000007588.34023.a6

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  • DOI: https://doi.org/10.1023/B:WARE.0000007588.34023.a6

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